Mohammadreza Ebrahimi
Orcid: 0000-0003-1367-3338
According to our database1,
Mohammadreza Ebrahimi
authored at least 34 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
CoRR, 2024
2023
Heterogeneous Domain Adaptation With Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity.
IEEE Trans. Pattern Anal. Mach. Intell., 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Automated Deductive Content Analysis of Text: A Deep Contrastive and Active Learning Based Approach.
Proceedings of the 44th International Conference on Information Systems, 2023
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Cross-Lingual Cybersecurity Analytics in the International Dark Web with Adversarial Deep Representation Learning.
MIS Q., May, 2022
Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence.
ACM Trans. Manag. Inf. Syst., 2022
Key Factors Affecting User Adoption of Open-Access Data Repositories in Intelligence and Security Informatics: An Affordance Perspective.
ACM Trans. Manag. Inf. Syst., 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
2021
PhD thesis, 2021
Binary Black-Box Attacks Against Static Malware Detectors with Reinforcement Learning in Discrete Action Spaces.
Proceedings of the IEEE Security and Privacy Workshops, 2021
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2021
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2021
2020
IEEE Trans. Wirel. Commun., 2020
Semi-Supervised Cyber Threat Identification in Dark Net Markets: A Transductive and Deep Learning Approach.
J. Manag. Inf. Syst., 2020
Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model.
CoRR, 2020
CoRR, 2020
Detecting Cyber Threats in Non-English Hacker Forums: An Adversarial Cross-Lingual Knowledge Transfer Approach.
Proceedings of the 2020 IEEE Security and Privacy Workshops, 2020
A Generative Adversarial Learning Framework for Breaking Text-Based CAPTCHA in the Dark Web.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020
Identifying, Collecting, and Monitoring Personally Identifiable Information: From the Dark Web to the Surface Web.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020
Linking Personally Identifiable Information from the Dark Web to the Surface Web: A Deep Entity Resolution Approach.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
2019
AIS Trans. Replication Res., 2019
Identifying High-Impact Opioid Products and Key Sellers in Dark Net Marketplaces: An Interpretable Text Analytics Approach.
Proceedings of the 2019 IEEE International Conference on Intelligence and Security Informatics, 2019
Proceedings of the 2019 IEEE International Conference on Intelligence and Security Informatics, 2019
2018
Detecting Cyber Threats in Non-English Dark Net Markets: A Cross-Lingual Transfer Learning Approach.
Proceedings of the 2018 IEEE International Conference on Intelligence and Security Informatics, 2018
Identifying, Collecting, and Presenting Hacker Community Data: Forums, IRC, Carding Shops, and DNMs.
Proceedings of the 2018 IEEE International Conference on Intelligence and Security Informatics, 2018
2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017